INVESTIGATION OF ROCK MASS PROPERTIES AND BLASTING CONDITIONS FOR FRAGMENTATION ASSESSMENT

The evaluation of rock mass and explosive properties is essential for understanding and optimizing blast-induced rock fragmentation in mining operations. Fragmentation efficiency is influenced by several factors, including rock mass characteristics, blast design parameters, and explosive properties. While blast design variables such as burden, spacing, stemming height, drilling pattern, and explosive type can be controlled, geological characteristics of the rock mass are largely uncontrollable and significantly influence blasting outcomes. Effective fragmentation improves ore recovery, reduces energy consumption during crushing and grinding, enhances material handling, and lowers overall mining costs. Conversely, poor fragmentation can increase operational expenses and reduce productivity. This study evaluates rock and explosive properties for fragmentation characterization, with particular emphasis on the application of WipFrag software. The study examines the relationship between rock mass characteristics, explosive properties, and blast design parameters in determining fragmentation size distribution. WipFrag provides a digital image analysis approach for estimating rock fragment sizes and assessing blasting performance. The application of this software supports the identification of fragmentation patterns, evaluation of blast efficiency, and improvement of blasting practices. By integrating rock properties, explosive characteristics, and fragmentation analysis, the study provides a framework for optimizing blasting operations and improving downstream mining processes. The findings are expected to contribute to more efficient blast design, reduced processing costs, improved productivity, and sustainable mining performance.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-06
DOI
https://doi.org/10.5281/zenodo.24008721
Primary Topic
Blasting Impact and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

INVESTIGATION OF ROCK MASS PROPERTIES AND BLASTING CONDITIONS FOR FRAGMENTATION ASSESSMENT

Bello Abdullahi Sani
1 links
Zenodo (CERN European Organization for Nuclear Research)
Blasting Impact and Analysis
article

INVESTIGATION OF ROCK MASS PROPERTIES AND BLASTING CONDITIONS FOR FRAGMENTATION ASSESSMENT

Bello Abdullahi Sani
article en

Abstract

The evaluation of rock mass and explosive properties is essential for understanding and optimizing blast-induced rock fragmentation in mining operations. Fragmentation efficiency is influenced by several factors, including rock mass characteristics, blast design parameters, and explosive properties. While blast design variables such as burden, spacing, stemming height, drilling pattern, and explosive type can be controlled, geological characteristics of the rock mass are largely uncontrollable and significantly influence blasting outcomes. Effective fragmentation improves ore recovery, reduces energy consumption during crushing and grinding, enhances material handling, and lowers overall mining costs. Conversely, poor fragmentation can increase operational expenses and reduce productivity. This study evaluates rock and explosive properties for fragmentation characterization, with particular emphasis on the application of WipFrag software. The study examines the relationship between rock mass characteristics, explosive properties, and blast design parameters in determining fragmentation size distribution. WipFrag provides a digital image analysis approach for estimating rock fragment sizes and assessing blasting performance. The application of this software supports the identification of fragmentation patterns, evaluation of blast efficiency, and improvement of blasting practices. By integrating rock properties, explosive characteristics, and fragmentation analysis, the study provides a framework for optimizing blasting operations and improving downstream mining processes. The findings are expected to contribute to more efficient blast design, reduced processing costs, improved productivity, and sustainable mining performance.

Zenodo (CERN European Organization for Nuclear Research)
Federal University of Technology (NG)
Openalex Percentile: Top 18%
Blasting Impact and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon